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Parental and Artificial Intelligence Perspectives on Adolescent Sexting: A Comparative Analysis.

Tsameret Ricon¹, Michal Dolev-Cohen²

¹Faculty of Graduate Studies, Oranim Academic College of Education, 36006, Tivon, Israel. tsricon@gmail.com.

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Summary

Artificial intelligence (AI) language models favor restrictive sexting mediation for adolescents, unlike varied parental approaches. AI

Keywords:

AI language models Adolescent sexting Parental mediation Parent–child communication Protection motivation theory

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Area of Science:

Adolescent Health
Artificial Intelligence
Communication Studies

Background:

Sexting among adolescents presents complex communication challenges for parents.
Traditional parental mediation strategies vary widely.
The role of AI in mediating sensitive adolescent topics is underexplored.

Purpose of the Study:

To compare AI language models' perspectives on adolescent sexting mediation with parental strategies.
To evaluate AI's ability to manage communication on sexting compared to parents.
To identify potential limitations of AI in facilitating parent-adolescent discussions on sexting.

Main Methods:

Survey of 472 parents regarding attitudes, communication, and mediation on sexting.
Analysis of outputs from four AI language models on the same topic.
Comparative analysis of AI-generated responses and parental mediation approaches.

Main Results:

AI models predominantly emphasize restrictive mediation and highlight sexting risks.
Parental responses to adolescent sexting mediation were diverse.
AI systems showed divergence in predicting dysfunctional parent-child communication regarding sexting.

Conclusions:

AI models offer a restrictive approach to adolescent sexting, contrasting with varied parental methods.
Current AI language models may have limitations in fostering nuanced parent-adolescent communication on sensitive issues like sexting.
Further research is needed to understand AI's role in supporting healthy adolescent communication.